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  • 标题:Self-Correcting Time Synchronization Support for Wireless Sensor Networks Targeting Applications on Internet of Things
  • 本地全文:下载
  • 作者:Leandro T. Bruscato ; Leandro T. Bruscato ; Edison P. Freitas
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:30
  • 页码:355-360
  • DOI:10.1016/j.ifacol.2016.11.161
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Abstract: The Internet of Things is a collection of devices that communicate by exchanging a variety of data among them, in which time synchronization is needed for meaningful information creation and transmission. The robustness of the data transmissions becomes an issue, since most of these devices use wireless communication. This paper focuses in proposing and implementing a time synchronization service for low-power wireless sensor networks using low frequency real-time clocks in each node. This work presents the design, implementation and test of an adaptive algorithm, making the timing of the clocks converge as quickly as possible and after this convergence, keeping them most similar as possible. The goal is to achieve the best method that ensures right timing and still having low energy consumption. Experimental results provide evidence of the success in meeting this goal.
  • 关键词:KeywordsTime synchronizationWireless sensor networksLow-powerLatencySelf-CorrectingClock predictionReal-timeInternet of things
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